1. Presented by Omer Shakil
Video Alignment
Presented by
Omer Shakil

2. Introduction Problem Statement Alignment Techniques
Direct-Based [Caspi and Irani, 2000 and 2002]
Feature-Based [Stein, 1998]
Best Frame Pair Search [Sand and Teller, 2004]
Non-Overlapping Sequences
Coherent Temporal Behavior [Caspi and Irani, 2001 and 2002]

3. Algorithm [Caspi and Irani, 2002]
Video Sequences S and S’
Inter-Camera Homography
Inter-Frame Transformation Ti between Ii and Ii+1
Derive or
Hence
Least Square Minimization

4. Algorithm (continued)
Mi is a 9 x 9 matrix defined by Ti, T’i and si
Combining all the constraints
H = Eigen-vector of ATA corresponding to the smallest eigen-value.

5. Inter Camera Homography
Extension
Learning Phase
Recover Inter-Camera Homography
Free Camera Movement
Frame Registration
Reference Frame from the Learning Phase
Future Work
3D Scenes
Synchronization
Input
Sequences
Inter Frame
Transformations
Inter Camera Homography
Frame
Registration
Aligned
Sequences

6. Results - Finding Transformations [Bergen, et. al., 1992]
Images
Scaling
Translation
Rotation
Actual
Recovered